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Herausgeber: 
  • Kevin W. Bowyer
  • Mark J. Burge
  • Handbook of Iris Recognition 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2016  
    Genre:  EDV / Informatik 
     
    Automated Pattern Recognition / B / computer science / pattern recognition
    ISBN:  9781447167822 
    EAN-Code: 
    9781447167822 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Advances in Computer Vision and Pattern Recognition  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1315 gr 
    Seiten:  568 
    Illustration:  XXI, 568 p. 279 illus., 157 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field. Revised and updated from the highly-successful original, this second edition has also been considerably expanded in scope and content, featuring four completely new chapters.

    Topics and features:

    • With a Foreword by the "father of iris recognition," Professor John Daugman of Cambridge University
    • Provides authoritative insights from an international selection of preeminent researchers with experience in sectors of government, industry, and academia
    • Reviews issues covering the full spectrum of the iris recognition process, from acquisition to encoding
    • Presents surveys of topical areas, and discusses the frontiers of iris research, including cross-wavelength matching, iris template aging, and anti-spoofing
    • Describes open source software for the iris recognition pipeline and datasets of iris images
    • Includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition

    This essential text/reference is an ideal resource for anyone wishing to improve their understanding of iris recognition technology, be they practitioners in industry, managers and executives, or researchers searching for new viewpoints and ideas.

    Dr. Kevin W. Bowyer is the Schubmehl-Prein Family Professor and Chair of the Department of Computer Science and Engineering at the University of Notre Dame, IN, USA. Dr. Mark J. Burge is a Scientist at the non-profit Noblis Corporation, Falls Church, VA, USA, and Visiting Professor at the US Naval Academy, Annapolis, MD, USA. His other publications include the Springer textbook Digital Image Processing - An Algorithmic Introduction Using Java.

      
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